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A Bayesian mixture modeling approach for public health surveillance
Spatial monitoring of trends in health data plays an important part of public health surveillance. Most commonly, it is used to understand the etiology of a public health issue, to assess the impact of an intervention, or to provide detection of unusual behavior. In this article, we present a Bayesi...
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| 出版年: | Biostatistics |
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| 主要な著者: | , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
Oxford University Press
2018
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7307974/ https://ncbi.nlm.nih.gov/pubmed/30252021 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1093/biostatistics/kxy038 |
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